codebook_data$gender <- recode_factor(codebook_data$gender, `Mężczyzna` = "M", `Kobieta` = "F")
codebook_data$response <- recode_factor(codebook_data$response, `Tak` = "Y", `Nie` = "N")
codebook_data$education_philosophical <- recode_factor(codebook_data$education_philosophical, `Tak` = "Y", `Nie` = "N")

table(codebook_data$education)
codebook_data$education <- recode_factor(codebook_data$education,
                                         `Podstawowe` = 1,
                                         `Średnie` = 2,
                                         `Zawodowe` = 3,
                                         `Wyższe` = 4,
                                         `Doktorat` = 5,
                                         `Habilitacja Plus` = 6,
                                         `-oth-` = 7
                                         )

head(codebook_data)
write_csv(codebook_data, "knobe_pl.csv")
library(codebook)
library(labelled)
## 
## Dołączanie pakietu: 'labelled'
## Następujący obiekt został zakryty z 'package:codebook':
## 
##     to_factor
ggplot2::theme_set(ggplot2::theme_bw())
codebook_data <- rio::import("knobe_pl.csv")

metadata(codebook_data)$name <- "Data of Polish replication study concerning the Knobe Effect"
metadata(codebook_data)$description <- "Data of lorem impumssadasdasdsa asdsa da d sad as das dsa asdsadas blah blah blah blah blah"
metadata(codebook_data)$creator <- "Laboratory of Experimental Philosophy Kognilab"
metadata(codebook_data)$url <- "http://onet.pl"
metadata(codebook_data)$citation <- "citation"
metadata(codebook_data)$datePublished <- "2022-07-07"
metadata(codebook_data)$temporalCoverage <- "Spring 2015 to Winter 2016"
metadata(codebook_data)$spatialCoverage <- "Online"


var_label(codebook_data) <- list(
  id = "ID of the participant",
  submitdate = "Submission date",
  startdate = "Start date",
  condition = "Experimental condition",
  response = "Did the chairman <adverb> harm/help the environment?",
  responsibility = "To what extent the chairman was responsible for harming/helping the environment?",
  gender = "Gender",
  birthyear = "Year of birth",
  education = "Education",
  education_other = "Education for Other option",
  education_philosophical = "Philosophical education"
  )

val_labels(codebook_data$gender) = c("Female" = "F", "Male" = "M")
val_labels(codebook_data$education) = c("Primary" = 1,
                                        "High school" = 2,
                                        "Technical school" = 3,
                                        "Higher education" = 4,
                                        "Doctoral degree" = 5,
                                        "Post-doctoral degree" = 6,
                                        "Other" = 7
                                        )
val_labels(codebook_data$response) = c("Yes" = "Y", "No" = "N")
val_labels(codebook_data$education_philosophical) = c("Yes" = "Y", "No" = "N")

codebook(codebook_data)
## No missing values.

Metadata

Description

Dataset name: Data of Polish replication study concerning the Knobe Effect

Data of lorem impumssadasdasdsa asdsa da d sad as das dsa asdsadas blah blah blah blah blah

Metadata for search engines
  • Temporal Coverage: Spring 2015 to Winter 2016

  • Spatial Coverage: Online

  • Citation: citation

  • URL: http://onet.pl

  • Date published: 2022-07-07

  • Creator:

name value
1 Laboratory of Experimental Philosophy Kognilab
x
id
submitdate
startdate
datestamp
adverb
condition
response
responsibility
gender
birthyear
education
education_other
education_philosophical

Variables

id

ID of the participant

Distribution

Distribution of values for id

Distribution of values for id

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist
id ID of the participant numeric 0 1 1 790 1541 775.6425 436.8408 ▇▇▇▇▆

submitdate

Submission date

Distribution

## 1072  unique, categorical values, so not shown.

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique min median max
submitdate Submission date POSIXct 0 1 1072 2015-04-17 00:50:18 2015-04-19 23:29:39 2016-02-12 17:37:58

startdate

Start date

Distribution

## 1071  unique, categorical values, so not shown.

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique min median max
startdate Start date POSIXct 0 1 1071 2015-04-17 00:49:09 2015-04-19 23:25:18 2016-02-12 17:35:53

datestamp

Distribution

## 1073  unique, categorical values, so not shown.

0 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique min median max label
datestamp POSIXct 0 1 1073 2015-04-17 00:50:18 2015-04-19 23:29:39 2016-02-12 17:37:58 NA

adverb

Distribution

Distribution of values for adverb

Distribution of values for adverb

0 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
adverb character 0 1 8 0 6 15 0 NA

condition

Experimental condition

Distribution

Distribution of values for condition

Distribution of values for condition

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace
condition Experimental condition character 0 1 2 0 4 4 0

response

Did the chairman <adverb> harm/help the environment?

Distribution

Distribution of values for response

Distribution of values for response

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min median max whitespace n_value_labels
response Did the chairman <adverb> harm/help the environment? haven_labelled 0 1 2 0 1 NA 1 0 2

Value labels

Response choices
name value
1 Y
2 N

responsibility

To what extent the chairman was responsible for harming/helping the environment?

Distribution

Distribution of values for responsibility

Distribution of values for responsibility

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist
responsibility To what extent the chairman was responsible for harming/helping the environment? numeric 0 1 1 2 5 2.31378 1.515148 ▇▃▂▂▂

gender

Gender

Distribution

Distribution of values for gender

Distribution of values for gender

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min median max whitespace n_value_labels
gender Gender haven_labelled 0 1 2 0 1 NA 1 0 2

Value labels

Response choices
name value
1 F
2 M

birthyear

Year of birth

Distribution

Distribution of values for birthyear

Distribution of values for birthyear

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist
birthyear Year of birth numeric 0 1 16 1988 1.7e+07 17892.13 521489 ▇▁▁▁▁

education

Education

Distribution

Distribution of values for education

Distribution of values for education

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd n_value_labels hist
education Education haven_labelled 0 1 1 4 7 3.428305 1.180369 7 ▁▃▁▇▁▁▁▁

Value labels

Response choices
name value
Primary 1
High school 2
Technical school 3
Higher education 4
Doctoral degree 5
Post-doctoral degree 6
Other 7

education_other

Education for Other option

Distribution

Distribution of values for education_other

Distribution of values for education_other

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace
education_other Education for Other option character 0 1 20 1053 0 102 0

education_philosophical

Philosophical education

Distribution

Distribution of values for education_philosophical

Distribution of values for education_philosophical

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min median max whitespace n_value_labels
education_philosophical Philosophical education haven_labelled 0 1 2 0 1 NA 1 0 2

Value labels

Response choices
name value
1 Y
2 N

Missingness report

Codebook table

JSON-LD metadata

The following JSON-LD can be found by search engines, if you share this codebook publicly on the web.

{
  "name": "Data of Polish replication study concerning the Knobe Effect",
  "description": "Data of lorem impumssadasdasdsa asdsa da d sad as das dsa asdsadas blah blah blah blah blah\n\n\n## Table of variables\nThis table contains variable names, labels, and number of missing values.\nSee the complete codebook for more.\n\n|name                    |label                                                                            | n_missing|\n|:-----------------------|:--------------------------------------------------------------------------------|---------:|\n|id                      |ID of the participant                                                            |         0|\n|submitdate              |Submission date                                                                  |         0|\n|startdate               |Start date                                                                       |         0|\n|datestamp               |NA                                                                               |         0|\n|adverb                  |NA                                                                               |         0|\n|condition               |Experimental condition                                                           |         0|\n|response                |Did the chairman <adverb> harm/help the environment?                             |         0|\n|responsibility          |To what extent the chairman was responsible for harming/helping the environment? |         0|\n|gender                  |Gender                                                                           |         0|\n|birthyear               |Year of birth                                                                    |         0|\n|education               |Education                                                                        |         0|\n|education_other         |Education for Other option                                                       |         0|\n|education_philosophical |Philosophical education                                                          |         0|\n\n### Note\nThis dataset was automatically described using the [codebook R package](https://rubenarslan.github.io/codebook/) (version 0.9.4.9000).",
  "creator": "Laboratory of Experimental Philosophy Kognilab",
  "url": "http://onet.pl",
  "citation": "citation",
  "datePublished": "2022-07-07",
  "temporalCoverage": "Spring 2015 to Winter 2016",
  "spatialCoverage": "Online",
  "keywords": ["id", "submitdate", "startdate", "datestamp", "adverb", "condition", "response", "responsibility", "gender", "birthyear", "education", "education_other", "education_philosophical"],
  "@context": "http://schema.org/",
  "@type": "Dataset",
  "variableMeasured": [
    {
      "name": "id",
      "description": "ID of the participant",
      "@type": "propertyValue"
    },
    {
      "name": "submitdate",
      "description": "Submission date",
      "@type": "propertyValue"
    },
    {
      "name": "startdate",
      "description": "Start date",
      "@type": "propertyValue"
    },
    {
      "name": "datestamp",
      "@type": "propertyValue"
    },
    {
      "name": "adverb",
      "@type": "propertyValue"
    },
    {
      "name": "condition",
      "description": "Experimental condition",
      "@type": "propertyValue"
    },
    {
      "name": "response",
      "description": "Did the chairman <adverb> harm/help the environment?",
      "value": "Y. Yes,\nN. No",
      "maxValue": "Y",
      "minValue": "N",
      "@type": "propertyValue"
    },
    {
      "name": "responsibility",
      "description": "To what extent the chairman was responsible for harming/helping the environment?",
      "@type": "propertyValue"
    },
    {
      "name": "gender",
      "description": "Gender",
      "value": "F. Female,\nM. Male",
      "maxValue": "M",
      "minValue": "F",
      "@type": "propertyValue"
    },
    {
      "name": "birthyear",
      "description": "Year of birth",
      "@type": "propertyValue"
    },
    {
      "name": "education",
      "description": "Education",
      "value": "1. Primary,\n2. High school,\n3. Technical school,\n4. Higher education,\n5. Doctoral degree,\n6. Post-doctoral degree,\n7. Other",
      "maxValue": 7,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "education_other",
      "description": "Education for Other option",
      "@type": "propertyValue"
    },
    {
      "name": "education_philosophical",
      "description": "Philosophical education",
      "value": "Y. Yes,\nN. No",
      "maxValue": "Y",
      "minValue": "N",
      "@type": "propertyValue"
    }
  ]
}`